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                    <h1>数据驱动保险运营(Mar-Fintech)</h1>
                    <p>互联网数字化运营解决方案</p>
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                            <h2>保险产品与服务创新</h2>
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                            <p>基于保险企业自有数据和互联网数据分析用户需求，协助精算和营销部门反向驱动保险产品设计，提供融合数据的数字化产品与服务创新。</p>
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                                <h3> 数字化金融融合服务创新 </h3>
                                <div class="text">在分析客户行为数据的基础上，可提供综合理财服务、生活消费服务、社交服务等功能，构建保险客户圈，形成以保险带动综合金融的服务体系。</div>
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                                <h3> 保险两核风控应用 </h3>
                                <div class="text">对投保人的风险评估服务：投保前敏感信息核验、风险分值评估、保后风险变化警示。</div>
                                <div class="text">保前敏感信息核验：通过实名制核验、联系人核验、用户证件核验、常住信息核验，核实客户信息的真实性，对风险进行初步的判断。</div>
                                <div class="text">保前风险分值评估：根据不同应用场景，确定各场景风险控制要求，指定客户风险等级，输出适用于各场景的“五唯一高”风险分值评估模型。</div>
                                <div class="text">保后风险变化警示：提供风险情况动态监控，当行为指标数值出现较大偏差时，提供风险预警，主动推送风险信息。</div>
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                                <h3> 保险反欺诈 </h3>
                                <div class="text">风险管理及反欺诈可实现前置调查、理赔调查、自动理赔、关联性稽核功能。</div>
                                <div class="text">反欺诈风险行为数据模型包括欺诈行为侦测模型、异常行为侦测模型、关联性分析模型三种。通过模型预测与管理，反欺诈具备理赔档案分析、实现行为建模及自动化的持续完善与优化功能。</div>
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                            <h2>数据管理和分析</h2>
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                                <h3> 非机构化数据内容管理系统 </h3>
                                <div class="text">对投保人的风险评估服务：投保前敏感信息核验、风险分值评估、保后风险变化警示。</div>
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                                <h3>数据清洗外包服务</h3>
                                <div class="text"> 紧密结合险企需求和具体应用场景，对数据进行过滤清洗，为数据应用业务部门提供融合数据的业务解决方案。</div>
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                            <h2>数据化营销</h2>
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                                <h3> 保险机构销售预测 </h3>
                                <div class="text"> 产品销售模型根据产品销售数据分析和客户反馈，完成保险产品销售预测、费用预算管理、人力计划、利润预测、成本核算等。</div>
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                                <h3>智能保顾推荐</h3>
                                <div class="text">  基于保险产品及相关领域知识图谱，对比各类保险产品，为保险从业人员提供便捷直观的智能保顾系统，精准推荐符合客户需求的保险产品。</div>
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                                <h3>新用户挖掘</h3>
                                <div class="text">  根据客户数据库与互联网搜索数据，深挖潜在客户，提升拉新效率。</div>
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                                <h3>用户画像</h3>
                                <div class="text">  运用深度学习进行用户分类，差异化营销方案，提升业绩。</div>
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                                <h3>交叉销售</h3>
                                <div class="text">  设计客制化销售方案，交叉销售提高客户价值。</div>
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                                <h3>客户流失预测</h3>
                                <div class="text">  流失模型提前预警潜在客户流失，并提供解决方案，及时留住客户。</div>
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                                <h3> 保险智能流程自动化（RPA) </h3>
                                <div class="text"> 利用机器视觉、OCR、RPA等先进技术，解决投保、核保等工作中存在的大量重复性人力工作，提升客户体验，提升运营效率，赋能员工和合作伙伴。</div>
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                                <h3>智能核保和理赔</h3>
                                <div class="text">  利用OCR、NLP、知识图谱等技术，实时在线提供智能核保和理赔服务，简化流程、省时高效。</div>
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                                <h3>智能客服</h3>
                                <div class="text">  协助险企构建“自助+AI智能客服+人工”相结合、“人机互动”和“人人互动”相结合的立体化智慧客服建设。</div>
                                <div class="text">  客户联络中心（Call center)数据应用：助力企业实现全渠道的客服沟通、高效进行精细化客户管理，同时降低运营成本、提升销售转化。</div>
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                                <h3> 业务员信用体系建设（RPA) </h3>
                                <div class="text"> 代理人、经纪人信用评价体系业务框架以代理人、经纪人的基本信息、业务能力、品质信用指标及专业化经营指标等量化评分，评价代理人、经纪人的销售信用和业务品质水平，计算相关人员总的信用评分，助力高效选才增员。</div>
                                <div class="text">信用评价体系适用于个人代理及收展人员，银行代理人员，电话销售人员及续期服务人员以及保险经纪人，助力完善销售人员业务品质管理和专业化水平评价机制，树立诚实、信用、合规、专业的销售文化。</div>
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                                <h3>智能稽核审计</h3>
                                <div class="text">   通过调集被审计对象的业务数据，进行连续、全面的分析，及时发现被审计对象存在的问题、疑点和异常，评估被审计对象的风险状况，为现场审计提供线索和资料，为制定审计计划提供支持。</div>
                                <div class="text">   智能稽核审计大数据分析平台具备模型管理、疑点管理、流程管理、监测预警能力。并应具备强大的数据整合、灵活的指标定义与运算、丰富的稽核审计分析建模支撑、稽核审计结果发布与共享功能。</div>
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